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DeepSeek-V3 vs Muse Wonder

Muse Wonder leads the LLM Stats Score 47.9 to 15.6. DeepSeek-V3 is 18.8x cheaper per token.

DeepSeek · Meta · Updated for 2026

Which is better?

Muse Wonder leads the overall LLM Stats Score 47.9 to 15.6, ranking #29 overall.

On price, DeepSeek-V3 is roughly 18.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Muse Wonder also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek-V3

  • cost matters — it's about 18.8x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose Muse Wonder

  • overall performance matters — it scores 47.9 and ranks #29 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

DeepSeek-V3
DeepSeek
Muse Wonder
Meta
Core performance indexes
LLM Stats Score
15.6
#244
47.9
#29
Reasoning
14.7
#243
33.1
#108
Coding
6.1
#206
38.9
#18
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.27 / M
$4.00 / M
Output price
$0.89 / M
$20.00 / M
Context window
131,072
1,048,576

Individual benchmarks

20 reported for DeepSeek-V3 · 16 for Muse Wonder

No common benchmarks found

DeepSeek-V3 and Muse Wonderdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3 costs less

For input processing, DeepSeek-V3 ($0.27/1M tokens) is 14.8x cheaper than Muse Wonder ($4.00/1M tokens).

For output processing, DeepSeek-V3 ($0.89/1M tokens) is 22.5x cheaper than Muse Wonder ($20.00/1M tokens).

In conclusion, Muse Wonder is more expensive than DeepSeek-V3.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Oct 12 2026 • llm-stats.com
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$0.89
Best providerDeepSeek
Meta
Muse Wonder
Input tokens$4.00
Output tokens$20.00
Best providerMeta
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Muse Wonder accepts 1,048,576 input tokens compared to DeepSeek-V3's 131,072 tokens. Only DeepSeek-V3 specifies output context (131,072 tokens).

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Meta
Muse Wonder
Input1,048,576 tokens
Output- tokens
Mon Oct 12 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Wonder supports multimodal inputs, whereas DeepSeek-V3 does not.

Muse Wonder can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3

Text
Images
Audio
Video

Muse Wonder

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while Muse Wonder uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

Muse Wonder

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while Muse Wonder was released on 2026-10-12.

Muse Wonder is 22 months newer than DeepSeek-V3.

DeepSeek-V3

Dec 25, 2024

1.8 years ago

Muse Wonder

Oct 12, 2026

0 days ago

1.8yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

DeepSeek-V3 is available from DeepSeek, DeepInfra. Muse Wonder is available from Meta Model API.

DeepSeek-V3

deepseek logo
DeepSeek
Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.32/1MOutput Price:Output: $0.89/1M

Muse Wonder

meta logo
Meta
Input Price:Input: $4.00/1MOutput Price:Output: $20.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek-V3 and Muse Wonder side-by-side, then vote on the output you prefer.

DeepSeek-V3
✓ Preferred
Muse Wonder
Open in Playground

FAQ

Common questions about DeepSeek-V3 vs Muse Wonder.

Which is better, DeepSeek-V3 or Muse Wonder?

Muse Wonder leads the LLM Stats Score 47.9 to 15.6. DeepSeek-V3 is made by DeepSeek and Muse Wonder is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V3 compare to Muse Wonder in benchmarks?

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. Muse Wonder scores MemoryBench: 85.6%, DeepSWE 1.1: 78.8%, OSWorld 2.1 (partial): 72.6%, JobBench: 70.5%, HealthBench Professional: 60.5%.

Is DeepSeek-V3 cheaper than Muse Wonder?

DeepSeek-V3 is 14.8x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $0.89/M output via deepseek. Muse Wonder costs $4.00/M input and $20.00/M output via meta.

What are the context window sizes for DeepSeek-V3 and Muse Wonder?

DeepSeek-V3 supports 131K tokens and Muse Wonder supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V3 and Muse Wonder?

Key differences include LLM Stats Score (15.6 vs 47.9), context window (131K vs 1.0M), input pricing ($0.27 vs $4.00/M), multimodal support (no vs yes), licensing (MIT + Model License (Commercial use allowed) vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 and Muse Wonder?

DeepSeek-V3 is developed by DeepSeek and Muse Wonder is developed by Meta.

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